Selecting Strategies to Reduce High-Risk Unsafe Work Behaviors Using the Safety Behavior Sampling Technique and Bayesian Network Analysis

摘要

High-risk unsafe behaviors (HRUBs) have been known as the main cause ofoccupational accidents. Considering the financial and societal costs of accidents and the limitationsof available resources, there is an urgent need for managing unsafe behaviors at workplaces. Theaim of the present study was to find strategies for decreasing the rate of HRUBs using an integratedapproach of safety behavior sampling technique and Bayesian networks analysis.